Thanks. Everytime I post question, I get answers with knowledge. :)

2014년 2월 11일 화요일 오후 8시 4분 8초 UTC+9, Costin Leau 님의 말:
>
> Hi, 
>
>
> On 11/02/2014 6:40 AM, Jong Min Kim wrote: 
> > I was searching infos about ES with HDFS. What I see is, using ES with 
> Hadoop does not mean using HDFS as main storage 
> > for ES. 
> > 
>
> You can use HDFS as the main storage of ES if you mount it as a local 
> filesystem (typically NFS). However, your 
> performance will suffer since a proper local disk is significantly faster 
> (several orders of magnitude) than HDFS. 
>
>
>
> > ES updates indexes to HDFS every 10 sec. as backup. Is that right? 
>
> Not sure what you mean by that - there's no implicit backing up; you can 
> install the HDFS snapshot/restore plugin and 
> use that but there's no automatic backing - and that is on purpose; you 
> can simply use crontab or something like that to 
> trigger the backing/snapshoting. 
>
> > 
> > Is there any way that I can use HDFS like main storage for 
> elasticsearch? 
>
> See above. 
>
> > 
> > I'm using AWS and the maximum size of EBS that I can set is 1TB. 
> > 
>
> If you're using AWS, you might want to look at the AWS plugin. 
>
> > What can I do if I need to index and save more than 1TB datas. 
>
> This is a generic question of what happens if my local storage is limited 
> to X. 
> There are various things - the easiest one mounting multiple EBSs to the 
> same or other EC2 nodes; think of the local 
> disk analogy, just as you use ES across multiple machines, with their own 
> SSD/HDD, you can use ES across multiple EC2 
> nodes with their own EBS instances. 
>
> If you want to 'deprecate' data you can use the AWS plugin to do snapshots 
> of 'old' data to S3 and then remove that from 
> the cluster; if needed you can easily restore it back from S3 as well. 
>
> Hope this helps, 
>
> > 
> > Thanks in advance. 
> > 
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> -- 
> Costin 
>

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